A quiet man by nature, Ricardo Henao is one of the most respected figures in biomedical applications for machine learning. When he speaks, his passion and authority as a subject matter expert are clear. His constant work in and around healthcare professionals has given him an innate ability to translate and bridge the gap between clinical researchers and his machine learning colleagues.
Ricardo was fascinated with electronics since his childhood in Colombia, progressing to engineering, signal processing, and eventually machine learning. He earned a Master’s degree in industrial automation, and moved to Denmark to earn his Ph.D. in machine learning. As part of his studies at the Technical University of Denmark, he began partnering with a local biomedical center and brought that expertise to Duke University.
In addition to his work as a Data Scientist at Infinia ML, he serves as Assistant Professor in Biostatistics and Bioinformatics at Duke and is a member of the Duke Clinical Research Institute. He regularly serves as a reviewer for journals such as the Journal for Machine Learning Research, Journal of Biomedical Informatics and many others.
While he enjoys reading and is a bit of a movie buff, his passion is machine learning – in particular, helping health systems and researchers unlock the vast amounts of data they have to find new breakthroughs. He also enjoys the challenges biomedical machine learning brings – forcing the algorithms to work and succeed with far smaller sample sizes than other industries. He enjoys the academic life – staying on the cutting edge of the latest machine learning research in healthcare – but also relishes the opportunity to tackle the urgent business problems addressed by Infinia ML.